This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_1xcvSEo_thru2024_1e+06_noSEoR_2025-12-18 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9984
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for $P_{(black)ayu}$ for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

$**Figure 31.**- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS *underestimates* the true value and bias > 1 indicates the survey *overestimates* the true value.$

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.6879433

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.09 while 0.91 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	13	1	1	0.228	0.205	0.053	0.514	1.071	0.123	0.187	NSEI
p_pelagic	13	1	2	0.090	0.074	0.017	0.253	1.052	0.062	0.258	NSEI
p_pelagic	13	10	1	0.258	0.240	0.079	0.535	1.038	0.121	0.149	NSEI
p_pelagic	13	10	2	0.102	0.089	0.025	0.260	1.064	0.061	0.212	NSEI
p_pelagic	13	11	1	0.267	0.249	0.084	0.551	1.025	0.121	0.149	NSEI
p_pelagic	13	11	2	0.107	0.093	0.026	0.273	1.027	0.065	0.217	NSEI
p_pelagic	13	12	1	0.274	0.259	0.090	0.545	1.032	0.119	0.126	NSEI
p_pelagic	13	12	2	0.108	0.095	0.029	0.267	1.022	0.062	0.211	NSEI
p_pelagic	13	13	1	0.280	0.265	0.092	0.551	1.025	0.120	0.125	NSEI
p_pelagic	13	13	2	0.112	0.099	0.030	0.267	1.018	0.064	0.203	NSEI
p_pelagic	13	14	1	0.275	0.262	0.096	0.520	1.024	0.109	0.119	NSEI
p_pelagic	13	14	2	0.114	0.101	0.032	0.273	1.017	0.062	0.209	NSEI
p_pelagic	13	15	1	0.250	0.235	0.089	0.488	1.014	0.102	0.147	NSEI
p_pelagic	13	15	2	0.110	0.099	0.034	0.247	1.021	0.056	0.196	NSEI
p_pelagic	13	16	1	0.284	0.269	0.110	0.522	1.011	0.110	0.136	NSEI
p_pelagic	13	16	2	0.123	0.109	0.034	0.287	1.018	0.065	0.214	NSEI
p_pelagic	13	17	1	0.303	0.293	0.122	0.551	1.016	0.110	0.091	NSEI
p_pelagic	13	17	2	0.130	0.119	0.040	0.288	1.016	0.064	0.171	NSEI
p_pelagic	13	2	1	0.234	0.214	0.058	0.536	1.064	0.125	0.160	NSEI
p_pelagic	13	2	2	0.091	0.074	0.018	0.245	1.070	0.063	0.271	NSEI
p_pelagic	13	3	1	0.235	0.215	0.057	0.516	1.060	0.121	0.165	NSEI
p_pelagic	13	3	2	0.091	0.077	0.017	0.249	1.047	0.061	0.228	NSEI
p_pelagic	13	4	1	0.238	0.217	0.056	0.528	1.050	0.124	0.169	NSEI
p_pelagic	13	4	2	0.092	0.078	0.018	0.255	1.052	0.061	0.230	NSEI
p_pelagic	13	5	1	0.240	0.218	0.061	0.521	1.054	0.122	0.180	NSEI
p_pelagic	13	5	2	0.093	0.078	0.021	0.240	1.034	0.060	0.251	NSEI
p_pelagic	13	6	1	0.240	0.220	0.065	0.526	1.051	0.121	0.166	NSEI
p_pelagic	13	6	2	0.095	0.080	0.022	0.250	1.052	0.060	0.249	NSEI
p_pelagic	13	7	1	0.245	0.226	0.069	0.529	1.039	0.120	0.158	NSEI
p_pelagic	13	7	2	0.098	0.084	0.020	0.262	1.035	0.062	0.225	NSEI
p_pelagic	13	8	1	0.250	0.229	0.074	0.521	1.030	0.119	0.176	NSEI
p_pelagic	13	8	2	0.098	0.084	0.023	0.256	1.037	0.062	0.228	NSEI
p_pelagic	13	9	1	0.257	0.237	0.076	0.534	1.039	0.121	0.166	NSEI
p_pelagic	13	9	2	0.101	0.087	0.024	0.260	1.028	0.063	0.222	NSEI
p_pelagic	16	1	2	0.373	0.365	0.133	0.653	1.012	0.137	0.058	SSEO
p_pelagic	16	10	1	0.399	0.394	0.157	0.671	1.012	0.135	0.037	SSEO
p_pelagic	16	2	2	0.370	0.361	0.135	0.649	1.011	0.135	0.067	SSEO
p_pelagic	16	4	1	0.395	0.387	0.142	0.680	1.017	0.140	0.057	SSEO
p_pelagic	16	5	1	0.392	0.384	0.149	0.671	1.012	0.138	0.058	SSEO
p_pelagic	16	7	2	0.375	0.366	0.145	0.647	1.015	0.134	0.067	SSEO
p_pelagic	3	10	1	0.557	0.562	0.296	0.796	1.012	0.131	-0.038	PWSI
p_pelagic	3	7	1	0.557	0.565	0.279	0.790	1.011	0.132	-0.061	PWSI
p_pelagic	3	9	1	0.555	0.561	0.301	0.791	1.014	0.129	-0.047	PWSI
p_black	8	40	1	0.480	0.415	0.342	0.963	1.017	0.184	0.352	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta2_pH	11	4	-4.357	-3.381	-14.546	-0.638	1.130	3.591	-0.272	CSEO
beta2_pH	12	4	-4.917	-3.916	-14.520	-1.023	1.131	3.617	-0.277	EWYKT
beta2_pH	13	4	-4.507	-3.455	-14.779	-0.779	1.148	3.630	-0.290	NSEI
beta0_pelagic	13		-1.616	-1.498	-3.306	-0.381	1.193	0.780	-0.151	NSEI
beta1_pelagic	13		3.981	3.588	1.975	7.127	1.245	1.479	0.266	NSEI
beta2_pelagic	13		0.133	0.123	0.056	0.281	1.152	0.061	0.165	NSEI
beta2_pH	14	4	-4.556	-3.533	-14.529	-0.971	1.154	3.488	-0.293	NSEO
beta2_pH	15	4	-4.187	-3.299	-14.037	-0.754	1.318	3.357	-0.264	SSEI
beta2_pH	16	4	-4.655	-3.633	-14.399	-1.281	1.146	3.353	-0.305	SSEO
mu_beta2_pH	3	4	-3.871	-3.038	-13.508	-0.307	1.217	3.281	-0.254	PWSI
beta4_pelagic	5		0.941	0.592	-6.374	12.051	1.120	7.695	0.045	BSAI
lambda_H	15		0.021	0.014	0.003	0.065	1.274	0.099	0.071	SSEI

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	267.00	189.00	873.00	309.00
Prop. of total	0.59	0.41	0.74	0.26
Prop. median less than 1	0.30	0.24	0.33	0.48
Prop. median less than 10	0.46	0.63	0.54	0.81
Prop. median less than 50	0.58	0.84	0.68	0.87
Median of the median values	22.05	5.50	6.00	1.32
Mean of the median values	280.72	48.72	230.87	63.74
Mean skew of posteriors	0.26	0.30	0.27	0.24

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	6.00	6.00	32.00	41.00
Prop. of total	0.50	0.50	0.44	0.56
Prop. median less than 1	0.50	1.00	0.69	0.63
Prop. median less than 10	0.67	1.00	0.75	0.95
Prop. median less than 50	1.00	1.00	0.91	0.95
Median of the median values	3.95	0.15	0.01	0.09
Mean of the median values	10.47	0.15	18.58	13.48
Mean skew of posteriors	0.19	0.20	0.13	0.17

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_pelagic	1
beta1_pelagic	1
beta2_pelagic	1
beta2_pH	6
beta4_pelagic	1
Bp_ayg	1
Hb_ay	1
Hb_ayg	1
Ho_ay	2
Ho_ayg	3
Ho_ayu	4
Hp_ay	1
Hp_ayg	1
Hs_ayu	1
Hy_ayg	2
lambda_H	1
mu_beta2_pH	1
R_ayg	3
R_ayu	5
Rb_ayg	3
Rb_ayu	1
Rd_ay	2
Rd_ayg	3
Rd_ayu	1
Ro_ay	7
Ro_ayg	10
Ro_ayu	17
Rp_ayg	3
Rp_ayu	1
Rs_ay	1
Rs_ayg	2
Rs_ayu	1
Ry_ay	14
Ry_ayg	4
Ry_ayu	20

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.019	0.069	-0.151	-0.020	0.122
mu_bc_H[2]	0.075	0.053	-0.021	0.072	0.184
mu_bc_H[3]	-0.270	0.068	-0.397	-0.272	-0.131
mu_bc_H[4]	-0.923	0.181	-1.279	-0.917	-0.577
mu_bc_H[5]	1.385	1.203	0.120	1.106	4.447
mu_bc_H[6]	-2.402	0.306	-2.992	-2.408	-1.808
mu_bc_H[7]	-0.452	0.104	-0.662	-0.449	-0.255
mu_bc_H[8]	0.247	0.339	-0.351	0.223	0.983
mu_bc_H[9]	-0.248	0.126	-0.494	-0.254	0.011
mu_bc_H[10]	0.059	0.066	-0.062	0.057	0.197
mu_bc_H[11]	-0.123	0.037	-0.198	-0.123	-0.051
mu_bc_H[12]	-0.255	0.105	-0.478	-0.250	-0.056
mu_bc_H[13]	-0.158	0.071	-0.295	-0.160	-0.015
mu_bc_H[14]	-0.305	0.089	-0.493	-0.302	-0.137
mu_bc_H[15]	-0.334	0.047	-0.423	-0.334	-0.235
mu_bc_H[16]	-0.152	0.372	-0.774	-0.194	0.664
mu_bc_R[1]	1.037	0.122	0.800	1.038	1.277
mu_bc_R[2]	1.014	0.075	0.857	1.016	1.155
mu_bc_R[3]	0.220	0.090	0.037	0.224	0.391
mu_bc_R[4]	0.661	0.199	0.257	0.668	1.032
mu_bc_R[5]	1.683	0.377	0.944	1.677	2.427
mu_bc_R[6]	-1.444	0.334	-2.094	-1.446	-0.784
mu_bc_R[7]	0.520	0.167	0.180	0.523	0.834
mu_bc_R[8]	0.650	0.149	0.361	0.644	0.948
mu_bc_R[9]	0.384	0.167	0.025	0.390	0.696
mu_bc_R[10]	0.901	0.102	0.709	0.901	1.107
mu_bc_R[11]	1.101	0.074	0.957	1.101	1.247
mu_bc_R[12]	0.864	0.161	0.550	0.862	1.176
mu_bc_R[13]	1.030	0.091	0.841	1.033	1.204
mu_bc_R[14]	0.861	0.122	0.619	0.863	1.096
mu_bc_R[15]	0.780	0.096	0.589	0.781	0.968
mu_bc_R[16]	1.264	0.115	1.032	1.263	1.484
tau_pH[1]	2.448	0.181	2.116	2.442	2.815
tau_pH[2]	1.567	0.148	1.288	1.558	1.875
tau_pH[3]	2.281	0.296	1.749	2.264	2.901
tau_pH[4]	1.113	0.174	0.822	1.097	1.494
tau_pH[5]	0.790	0.128	0.568	0.782	1.070
beta0_pH[1,1]	0.534	0.185	0.133	0.542	0.853
beta0_pH[2,1]	1.424	0.171	1.059	1.437	1.730
beta0_pH[3,1]	1.370	0.243	0.780	1.404	1.750
beta0_pH[4,1]	1.549	0.245	1.028	1.565	1.979
beta0_pH[5,1]	-0.785	0.373	-1.687	-0.744	-0.176
beta0_pH[6,1]	-0.526	0.439	-1.702	-0.410	0.055
beta0_pH[7,1]	0.753	0.011	0.732	0.753	0.774
beta0_pH[8,1]	-0.542	0.301	-1.189	-0.527	-0.025
beta0_pH[9,1]	-0.306	0.285	-0.937	-0.275	0.174
beta0_pH[10,1]	0.283	0.189	-0.105	0.292	0.625
beta0_pH[11,1]	0.017	0.319	-0.666	0.030	0.578
beta0_pH[12,1]	0.630	0.193	0.212	0.635	0.985
beta0_pH[13,1]	-0.675	0.148	-0.987	-0.669	-0.395
beta0_pH[14,1]	0.007	0.174	-0.356	0.014	0.345
beta0_pH[15,1]	0.063	0.184	-0.331	0.073	0.397
beta0_pH[16,1]	-0.874	0.212	-1.305	-0.868	-0.473
beta0_pH[1,2]	2.565	0.086	2.398	2.565	2.737
beta0_pH[2,2]	3.078	0.021	3.037	3.078	3.120
beta0_pH[3,2]	3.626	0.041	3.545	3.625	3.706
beta0_pH[4,2]	2.937	0.019	2.901	2.937	2.974
beta0_pH[5,2]	4.555	1.435	2.755	4.236	8.280
beta0_pH[6,2]	3.333	0.157	3.046	3.331	3.651
beta0_pH[7,2]	2.025	0.049	1.931	2.024	2.124
beta0_pH[8,2]	2.823	0.065	2.698	2.821	2.952
beta0_pH[9,2]	3.966	0.207	3.571	3.962	4.383
beta0_pH[10,2]	4.002	0.130	3.755	3.995	4.261
beta0_pH[11,2]	1.888	0.009	1.870	1.889	1.906
beta0_pH[12,2]	1.801	0.067	1.675	1.799	1.937
beta0_pH[13,2]	2.498	0.026	2.447	2.497	2.548
beta0_pH[14,2]	1.806	0.024	1.760	1.806	1.855
beta0_pH[15,2]	2.550	0.017	2.517	2.550	2.584
beta0_pH[16,2]	2.776	0.025	2.727	2.776	2.824
beta0_pH[1,3]	0.684	0.594	-0.935	0.844	1.369
beta0_pH[2,3]	2.127	0.017	2.094	2.127	2.161
beta0_pH[3,3]	2.689	0.024	2.642	2.689	2.737
beta0_pH[4,3]	2.981	0.034	2.914	2.981	3.048
beta0_pH[5,3]	3.803	2.620	1.007	3.089	11.156
beta0_pH[6,3]	1.260	0.323	0.700	1.233	1.964
beta0_pH[7,3]	0.855	0.049	0.760	0.855	0.951
beta0_pH[8,3]	0.286	0.122	0.030	0.292	0.502
beta0_pH[9,3]	-2.916	1.096	-5.302	-2.792	-1.119
beta0_pH[10,3]	-0.880	0.891	-3.009	-0.761	0.576
beta0_pH[11,3]	-0.003	11.554	-22.520	-0.015	22.520
beta0_pH[12,3]	0.218	11.555	-21.446	0.061	23.470
beta0_pH[13,3]	0.359	11.532	-22.208	0.333	23.960
beta0_pH[14,3]	-0.145	11.480	-22.944	-0.177	22.643
beta0_pH[15,3]	0.247	11.636	-22.140	0.079	23.390
beta0_pH[16,3]	0.230	11.433	-22.081	-0.086	23.192
beta0_pH[11,4]	0.991	0.647	-0.507	1.035	2.114
beta0_pH[12,4]	0.788	0.830	-1.172	0.834	2.255
beta0_pH[13,4]	0.730	0.688	-0.941	0.789	1.929
beta0_pH[14,4]	0.325	0.555	-0.977	0.400	1.247
beta0_pH[15,4]	0.634	0.596	-0.789	0.671	1.775
beta0_pH[16,4]	0.956	0.734	-0.647	0.969	2.334
beta0_pH[11,5]	1.669	0.083	1.516	1.665	1.842
beta0_pH[12,5]	-1.415	0.459	-2.365	-1.388	-0.547
beta0_pH[13,5]	2.237	0.262	1.810	2.211	2.816
beta0_pH[14,5]	1.879	0.295	1.418	1.843	2.546
beta0_pH[15,5]	1.110	0.065	0.994	1.107	1.243
beta0_pH[16,5]	-0.736	0.053	-0.838	-0.737	-0.630
beta1_pH[1,1]	2.628	0.513	1.796	2.565	3.911
beta1_pH[2,1]	1.617	0.327	1.018	1.602	2.323
beta1_pH[3,1]	1.865	0.481	1.133	1.784	3.095
beta1_pH[4,1]	1.941	0.441	1.217	1.889	3.046
beta1_pH[5,1]	2.300	0.487	1.522	2.242	3.495
beta1_pH[6,1]	2.153	0.809	1.106	1.928	4.360
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.359	0.812	1.236	2.174	4.369
beta1_pH[9,1]	2.087	0.636	1.233	1.955	3.980
beta1_pH[10,1]	2.144	0.365	1.520	2.127	2.962
beta1_pH[11,1]	3.400	0.516	2.551	3.347	4.571
beta1_pH[12,1]	2.894	0.288	2.334	2.887	3.472
beta1_pH[13,1]	3.484	0.245	3.044	3.475	4.020
beta1_pH[14,1]	2.867	0.317	2.297	2.847	3.509
beta1_pH[15,1]	2.395	0.269	1.893	2.387	2.953
beta1_pH[16,1]	4.041	0.297	3.467	4.042	4.645
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.459	1.669	1.226	2.993	7.270
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.814	2.334	2.182	4.011	11.178
beta1_pH[9,3]	8.573	2.630	4.402	8.231	14.101
beta1_pH[10,3]	7.170	2.796	3.073	6.618	13.617
beta1_pH[11,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,4]	2.197	0.697	0.882	2.193	3.677
beta1_pH[12,4]	3.383	0.852	1.837	3.307	5.379
beta1_pH[13,4]	1.725	0.729	0.304	1.706	3.388
beta1_pH[14,4]	2.337	0.632	1.215	2.270	3.784
beta1_pH[15,4]	1.799	0.654	0.475	1.775	3.213
beta1_pH[16,4]	3.908	0.789	2.388	3.883	5.544
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.150	0.808	0.303	0.862	3.332
beta2_pH[2,1]	1.557	0.938	0.289	1.335	3.407
beta2_pH[3,1]	1.269	0.832	0.196	1.098	2.903
beta2_pH[4,1]	1.089	0.762	0.217	0.828	2.877
beta2_pH[5,1]	2.198	1.792	0.286	1.754	7.344
beta2_pH[6,1]	0.995	1.440	0.114	0.427	5.483
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.727	0.953	0.139	0.367	3.802
beta2_pH[9,1]	0.973	1.367	0.149	0.509	5.189
beta2_pH[10,1]	1.273	1.276	0.292	0.851	5.202
beta2_pH[11,1]	0.409	0.230	0.184	0.350	0.958
beta2_pH[12,1]	1.547	0.794	0.625	1.287	3.628
beta2_pH[13,1]	0.978	0.385	0.522	0.892	1.972
beta2_pH[14,1]	1.105	0.645	0.433	0.912	3.214
beta2_pH[15,1]	1.052	0.606	0.398	0.879	2.847
beta2_pH[16,1]	1.046	0.346	0.622	0.970	1.874
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.251	4.014	0.114	0.493	14.928
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.797	2.305	0.551	1.840	8.802
beta2_pH[9,3]	0.178	0.100	0.080	0.155	0.388
beta2_pH[10,3]	0.329	0.468	0.099	0.232	0.999
beta2_pH[11,3]	-8.277	5.870	-22.204	-7.169	-0.442
beta2_pH[12,3]	-8.223	5.833	-22.301	-7.179	-0.421
beta2_pH[13,3]	-8.381	5.912	-22.286	-7.204	-0.370
beta2_pH[14,3]	-8.385	5.897	-22.054	-7.222	-0.391
beta2_pH[15,3]	-8.314	5.883	-22.382	-7.212	-0.405
beta2_pH[16,3]	-8.329	5.902	-22.296	-7.232	-0.404
beta2_pH[11,4]	-4.357	3.591	-14.546	-3.381	-0.638
beta2_pH[12,4]	-4.917	3.617	-14.520	-3.916	-1.023
beta2_pH[13,4]	-4.507	3.630	-14.779	-3.455	-0.779
beta2_pH[14,4]	-4.556	3.488	-14.529	-3.533	-0.971
beta2_pH[15,4]	-4.187	3.357	-14.037	-3.299	-0.754
beta2_pH[16,4]	-4.655	3.353	-14.399	-3.633	-1.281
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.980	1.137	32.878	34.973	37.469
beta3_pH[2,1]	32.890	1.504	30.368	32.697	36.382
beta3_pH[3,1]	33.052	1.705	29.781	32.955	37.020
beta3_pH[4,1]	32.633	1.894	29.589	32.451	37.024
beta3_pH[5,1]	27.604	1.079	26.043	27.499	30.327
beta3_pH[6,1]	33.247	3.171	26.657	33.108	40.810
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.882	3.546	29.563	36.128	42.022
beta3_pH[9,1]	32.608	2.915	27.845	32.256	40.086
beta3_pH[10,1]	32.627	1.351	30.218	32.525	35.600
beta3_pH[11,1]	31.158	1.145	29.246	31.112	33.599
beta3_pH[12,1]	30.763	0.482	29.794	30.766	31.663
beta3_pH[13,1]	31.400	0.530	30.407	31.389	32.467
beta3_pH[14,1]	32.545	0.757	31.266	32.487	34.208
beta3_pH[15,1]	30.968	0.703	29.571	30.963	32.332
beta3_pH[16,1]	30.128	0.347	29.470	30.124	30.800
beta3_pH[1,2]	34.391	5.456	25.471	34.234	43.504
beta3_pH[2,2]	34.349	5.471	25.496	34.174	43.473
beta3_pH[3,2]	30.405	7.156	18.663	30.333	42.314
beta3_pH[4,2]	30.692	7.257	18.638	30.707	42.390
beta3_pH[5,2]	30.407	7.097	18.730	30.344	42.322
beta3_pH[6,2]	30.528	7.218	18.606	30.562	42.464
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.781	2.596	33.282	40.157	43.666
beta3_pH[2,3]	34.447	5.511	25.447	34.405	43.444
beta3_pH[3,3]	30.675	7.245	18.591	30.864	42.436
beta3_pH[4,3]	30.379	7.280	18.506	30.381	42.371
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.112	0.834	41.010	41.817	43.887
beta3_pH[9,3]	36.000	1.749	34.528	35.347	41.299
beta3_pH[10,3]	37.774	2.544	34.619	37.035	43.330
beta3_pH[11,3]	38.412	2.572	34.247	38.392	42.742
beta3_pH[12,3]	38.560	2.603	34.262	38.578	42.775
beta3_pH[13,3]	38.437	2.618	34.195	38.415	42.813
beta3_pH[14,3]	38.530	2.611	34.224	38.531	42.787
beta3_pH[15,3]	38.479	2.601	34.242	38.471	42.741
beta3_pH[16,3]	38.533	2.630	34.184	38.650	42.790
beta3_pH[11,4]	40.724	1.139	38.738	40.597	43.219
beta3_pH[12,4]	41.934	0.763	40.281	42.168	42.942
beta3_pH[13,4]	41.529	1.133	39.232	41.490	43.610
beta3_pH[14,4]	40.339	0.744	38.834	40.352	41.713
beta3_pH[15,4]	41.182	0.984	39.206	41.103	43.302
beta3_pH[16,4]	41.758	0.410	40.941	41.799	42.555
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.262	0.021	0.221	0.263	0.303
beta4_pH[2,1]	0.211	0.005	0.200	0.211	0.220
beta4_pH[3,1]	0.173	0.007	0.159	0.173	0.186
beta4_pH[4,1]	0.294	0.011	0.272	0.293	0.316
beta4_pH[5,1]	0.427	0.251	0.092	0.394	0.954
beta4_pH[6,1]	0.776	0.389	0.334	0.733	1.402
beta4_pH[7,1]	0.855	0.345	0.354	0.798	1.691
beta4_pH[8,1]	0.159	0.070	0.045	0.151	0.314
beta4_pH[9,1]	0.214	0.088	0.062	0.207	0.400
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.446	0.012	0.424	0.446	0.471
beta4_pH[12,1]	0.642	0.022	0.599	0.642	0.687
beta4_pH[13,1]	0.630	0.014	0.603	0.630	0.657
beta4_pH[14,1]	0.667	0.031	0.608	0.667	0.727
beta4_pH[15,1]	0.796	0.021	0.756	0.796	0.837
beta4_pH[16,1]	1.216	0.042	1.137	1.215	1.303
beta4_pH[1,2]	0.295	0.095	0.127	0.289	0.501
beta4_pH[2,2]	0.515	0.022	0.471	0.514	0.560
beta4_pH[3,2]	0.446	0.012	0.422	0.446	0.469
beta4_pH[4,2]	0.653	0.038	0.581	0.654	0.726
beta4_pH[5,2]	0.700	0.685	0.109	0.525	2.272
beta4_pH[6,2]	0.891	0.758	0.210	0.733	2.651
beta4_pH[7,2]	0.894	0.456	0.343	0.815	1.945
beta4_pH[8,2]	0.854	0.202	0.489	0.844	1.274
beta4_pH[9,2]	1.165	1.194	0.316	0.869	3.800
beta4_pH[10,2]	0.458	0.052	0.358	0.457	0.563
beta4_pH[11,2]	1.268	0.050	1.171	1.268	1.368
beta4_pH[12,2]	0.603	0.112	0.395	0.600	0.834
beta4_pH[13,2]	0.948	0.045	0.862	0.948	1.037
beta4_pH[14,2]	0.931	0.062	0.813	0.929	1.057
beta4_pH[15,2]	1.010	0.025	0.961	1.010	1.060
beta4_pH[16,2]	1.392	0.075	1.248	1.390	1.545
beta4_pH[1,3]	0.239	0.075	0.104	0.235	0.398
beta4_pH[2,3]	0.050	0.017	0.020	0.049	0.085
beta4_pH[3,3]	0.052	0.010	0.033	0.052	0.071
beta4_pH[4,3]	0.167	0.031	0.108	0.166	0.226
beta4_pH[5,3]	0.766	0.883	0.115	0.561	2.786
beta4_pH[6,3]	0.898	0.767	0.214	0.727	2.573
beta4_pH[7,3]	0.904	0.450	0.364	0.829	1.874
beta4_pH[8,3]	0.393	0.184	0.103	0.370	0.824
beta4_pH[9,3]	0.906	0.740	0.155	0.713	2.815
beta4_pH[10,3]	0.055	0.037	0.003	0.048	0.140
beta4_pH[11,3]	0.616	0.258	0.264	0.570	1.245
beta4_pH[12,3]	0.703	0.225	0.369	0.670	1.258
beta4_pH[13,3]	0.713	0.186	0.414	0.690	1.121
beta4_pH[14,3]	0.859	0.223	0.510	0.827	1.390
beta4_pH[15,3]	0.824	0.254	0.433	0.784	1.422
beta4_pH[16,3]	0.833	0.383	0.333	0.762	1.765
beta4_pH[1,4]	0.647	0.403	0.198	0.565	1.588
beta4_pH[2,4]	0.821	0.879	0.111	0.584	2.896
beta4_pH[3,4]	0.884	1.015	0.116	0.616	3.411
beta4_pH[4,4]	0.737	0.467	0.205	0.627	1.861
beta4_pH[5,4]	0.761	0.818	0.119	0.553	2.674
beta4_pH[6,4]	0.913	0.781	0.216	0.735	2.629
beta4_pH[7,4]	0.894	0.421	0.345	0.805	1.914
beta4_pH[8,4]	0.750	0.720	0.152	0.584	2.397
beta4_pH[9,4]	0.775	1.004	0.104	0.560	2.686
beta4_pH[10,4]	1.458	3.146	0.006	0.370	11.271
beta4_pH[11,4]	0.395	0.016	0.365	0.395	0.427
beta4_pH[12,4]	0.550	0.054	0.446	0.549	0.655
beta4_pH[13,4]	0.835	0.040	0.761	0.834	0.917
beta4_pH[14,4]	0.864	0.072	0.728	0.862	1.009
beta4_pH[15,4]	0.626	0.017	0.593	0.626	0.660
beta4_pH[16,4]	0.647	0.039	0.575	0.646	0.726
beta4_pH[1,5]	0.636	0.382	0.204	0.554	1.630
beta4_pH[2,5]	0.822	0.857	0.119	0.608	2.811
beta4_pH[3,5]	0.881	0.996	0.114	0.605	3.341
beta4_pH[4,5]	0.733	0.484	0.211	0.628	1.879
beta4_pH[5,5]	0.783	1.046	0.112	0.560	2.806
beta4_pH[6,5]	0.918	0.825	0.212	0.736	2.672
beta4_pH[7,5]	0.879	0.388	0.343	0.805	1.882
beta4_pH[8,5]	0.739	0.748	0.151	0.584	2.117
beta4_pH[9,5]	0.763	0.728	0.124	0.571	2.690
beta4_pH[10,5]	1.542	3.202	0.009	0.399	12.089
beta4_pH[11,5]	0.362	0.075	0.214	0.362	0.513
beta4_pH[12,5]	0.703	0.210	0.381	0.672	1.201
beta4_pH[13,5]	0.970	0.111	0.768	0.964	1.201
beta4_pH[14,5]	0.845	0.156	0.574	0.833	1.178
beta4_pH[15,5]	1.305	0.116	1.080	1.302	1.540
beta4_pH[16,5]	0.927	0.380	0.372	0.861	1.860
beta0_pelagic[1]	2.268	0.036	2.200	2.266	2.340
beta0_pelagic[2]	1.537	0.007	1.524	1.537	1.551
beta0_pelagic[3]	0.202	0.249	-0.449	0.257	0.550
beta0_pelagic[4]	0.224	0.232	-0.324	0.236	0.669
beta0_pelagic[5]	1.444	0.153	1.157	1.442	1.747
beta0_pelagic[6]	1.355	0.060	1.244	1.350	1.481
beta0_pelagic[7]	1.471	0.038	1.401	1.469	1.549
beta0_pelagic[8]	1.671	0.044	1.588	1.669	1.758
beta0_pelagic[9]	2.776	0.063	2.660	2.774	2.903
beta0_pelagic[10]	2.603	0.032	2.544	2.602	2.667
beta0_pelagic[11]	-0.168	0.205	-0.638	-0.146	0.169
beta0_pelagic[12]	1.801	0.037	1.734	1.799	1.875
beta0_pelagic[13]	-1.616	0.780	-3.306	-1.498	-0.381
beta0_pelagic[14]	-0.275	0.168	-0.665	-0.258	0.012
beta0_pelagic[15]	-0.209	0.033	-0.299	-0.195	-0.180
beta0_pelagic[16]	-0.482	0.377	-1.333	-0.390	0.067
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.762	0.289	0.339	0.717	1.645
beta1_pelagic[4]	0.825	0.259	0.330	0.816	1.430
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.189	0.284	0.719	1.155	1.856
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	3.981	1.479	1.975	3.588	7.127
beta1_pelagic[14]	1.779	0.447	1.124	1.683	2.946
beta1_pelagic[15]	0.091	0.155	0.000	0.014	0.579
beta1_pelagic[16]	1.620	0.572	0.774	1.507	2.822
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.342	6.018	0.174	4.607	21.640
beta2_pelagic[4]	7.488	6.131	0.332	6.116	21.856
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.704	1.494	0.256	1.169	5.754
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.133	0.061	0.056	0.123	0.281
beta2_pelagic[14]	0.875	0.869	0.201	0.603	3.581
beta2_pelagic[15]	2.629	1.883	0.175	2.284	7.134
beta2_pelagic[16]	0.716	0.968	0.120	0.353	3.956
beta3_pelagic[1]	28.750	3.912	22.326	28.648	35.213
beta3_pelagic[2]	28.863	3.928	22.313	28.981	35.195
beta3_pelagic[3]	28.163	2.705	23.327	28.702	32.811
beta3_pelagic[4]	26.151	1.483	23.165	26.276	29.644
beta3_pelagic[5]	29.692	6.630	18.759	29.715	40.468
beta3_pelagic[6]	29.670	6.653	18.699	29.587	40.495
beta3_pelagic[7]	29.383	6.576	18.555	29.195	40.403
beta3_pelagic[8]	29.624	6.758	18.602	29.614	40.562
beta3_pelagic[9]	29.553	6.569	18.634	29.452	40.349
beta3_pelagic[10]	29.361	6.637	18.509	29.122	40.428
beta3_pelagic[11]	30.069	1.296	27.704	29.992	32.987
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	30.989	4.502	23.631	30.652	40.447
beta3_pelagic[14]	34.245	1.708	31.471	34.011	38.366
beta3_pelagic[15]	34.271	5.770	23.608	35.217	41.760
beta3_pelagic[16]	31.275	2.655	26.329	31.175	37.213
beta0_yellow[1]	-0.484	0.080	-0.637	-0.485	-0.329
beta0_yellow[2]	0.540	0.085	0.352	0.548	0.686
beta0_yellow[3]	-0.208	0.131	-0.465	-0.211	0.013
beta0_yellow[4]	0.904	0.246	0.212	0.975	1.193
beta0_yellow[5]	0.246	0.327	-0.458	0.270	0.823
beta0_yellow[6]	0.822	0.105	0.620	0.822	1.026
beta0_yellow[7]	1.013	0.102	0.812	1.011	1.220
beta0_yellow[8]	1.017	0.095	0.834	1.016	1.207
beta0_yellow[9]	0.442	0.098	0.242	0.445	0.633
beta0_yellow[10]	0.540	0.070	0.402	0.541	0.675
beta0_yellow[11]	-0.192	0.121	-0.457	-0.184	0.014
beta0_yellow[12]	-1.085	0.094	-1.276	-1.085	-0.903
beta0_yellow[13]	-1.338	0.169	-1.721	-1.321	-1.061
beta0_yellow[14]	-0.249	0.154	-0.580	-0.231	-0.007
beta0_yellow[15]	-1.243	0.132	-1.561	-1.229	-1.031
beta0_yellow[16]	-0.256	0.091	-0.436	-0.255	-0.077
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.017	0.236	0.575	1.012	1.479
beta1_yellow[3]	0.466	0.248	0.019	0.476	0.922
beta1_yellow[4]	1.310	0.562	0.642	1.181	3.024
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.251	0.335	0.001	0.066	1.105
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.915	1.680	0.056	1.135	5.938
beta1_yellow[14]	0.740	1.019	0.012	0.433	3.991
beta1_yellow[15]	0.159	0.195	0.011	0.075	0.701
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.563	5.736	-21.575	-6.376	-0.428
beta2_yellow[3]	-7.829	5.821	-22.218	-6.735	-0.372
beta2_yellow[4]	-5.923	6.055	-21.078	-4.081	-0.126
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.798	5.708	-21.055	-6.618	-0.392
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-5.294	5.303	-19.365	-3.271	-0.313
beta2_yellow[14]	-7.227	5.729	-20.568	-6.035	-0.365
beta2_yellow[15]	-7.577	5.654	-21.001	-6.397	-0.334
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.888	1.150	27.325	28.674	31.853
beta3_yellow[3]	32.307	3.286	22.949	32.494	38.476
beta3_yellow[4]	29.852	3.204	24.400	28.617	35.612
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	35.332	3.774	30.381	34.328	43.342
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	32.347	2.696	29.087	32.049	37.969
beta3_yellow[14]	33.808	3.523	29.178	33.385	42.751
beta3_yellow[15]	36.521	3.818	30.273	36.303	43.462
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.009	0.074	-0.139	0.009	0.155
beta0_black[2]	1.856	0.032	1.793	1.856	1.917
beta0_black[3]	1.240	0.038	1.165	1.239	1.313
beta0_black[4]	2.425	0.047	2.335	2.423	2.518
beta0_black[5]	5.151	2.393	1.801	4.688	11.214
beta0_black[6]	5.221	2.120	2.634	4.712	10.690
beta0_black[7]	4.148	2.197	1.635	3.548	10.291
beta0_black[8]	0.886	0.213	0.495	0.877	1.335
beta0_black[9]	2.802	0.271	2.275	2.801	3.345
beta0_black[10]	1.288	0.050	1.191	1.287	1.388
beta0_black[11]	2.977	0.052	2.876	2.977	3.081
beta0_black[12]	4.910	0.190	4.549	4.914	5.282
beta0_black[13]	0.449	0.339	0.016	0.371	1.242
beta0_black[14]	2.851	0.108	2.641	2.850	3.067
beta0_black[15]	0.723	0.052	0.624	0.723	0.824
beta0_black[16]	3.774	0.074	3.634	3.773	3.922
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.589	1.801	-7.155	-2.179	-0.308
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.299	3.413	27.189	38.094	40.841
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.324	0.091	-0.499	-0.324	-0.141
beta4_black[2]	0.257	0.052	0.154	0.258	0.358
beta4_black[3]	-0.721	0.064	-0.848	-0.720	-0.596
beta4_black[4]	0.629	0.130	0.382	0.627	0.888
beta4_black[5]	0.745	1.452	-1.139	0.495	4.115
beta4_black[6]	0.824	1.422	-0.904	0.536	4.228
beta4_black[7]	0.775	1.590	-1.052	0.509	4.060
beta4_black[8]	0.073	0.285	-0.520	0.082	0.615
beta4_black[9]	1.024	0.784	-0.052	0.873	2.941
beta4_black[10]	0.072	0.067	-0.062	0.073	0.204
beta4_black[11]	-0.610	0.065	-0.736	-0.609	-0.484
beta4_black[12]	1.248	0.286	0.710	1.242	1.807
beta4_black[13]	-1.003	0.076	-1.159	-1.002	-0.858
beta4_black[14]	0.229	0.185	-0.120	0.226	0.604
beta4_black[15]	0.001	0.046	-0.088	0.002	0.090
beta4_black[16]	-0.420	0.115	-0.649	-0.419	-0.196
beta0_dsr[11]	-0.337	0.009	-0.355	-0.337	-0.318
beta0_dsr[12]	1.422	0.043	1.341	1.421	1.507
beta0_dsr[13]	0.131	0.022	0.087	0.130	0.177
beta0_dsr[14]	-0.135	0.017	-0.170	-0.135	-0.101
beta0_dsr[15]	0.185	0.014	0.157	0.184	0.212
beta0_dsr[16]	0.208	0.015	0.178	0.208	0.238
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.548	0.036	0.477	0.548	0.615
beta4_dsr[12]	0.811	0.240	0.353	0.805	1.300
beta4_dsr[13]	-0.046	0.042	-0.130	-0.046	0.035
beta4_dsr[14]	-0.206	0.072	-0.347	-0.207	-0.065
beta4_dsr[15]	0.236	0.022	0.193	0.236	0.279
beta4_dsr[16]	-0.098	0.045	-0.186	-0.098	-0.009
beta0_slope[11]	-2.200	0.021	-2.242	-2.200	-2.160
beta0_slope[12]	-5.431	0.231	-5.879	-5.430	-4.985
beta0_slope[13]	-1.455	0.034	-1.522	-1.454	-1.390
beta0_slope[14]	-2.692	0.051	-2.793	-2.693	-2.594
beta0_slope[15]	-1.567	0.021	-1.609	-1.566	-1.524
beta0_slope[16]	-3.014	0.046	-3.103	-3.013	-2.925
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.343	0.075	-0.498	-0.341	-0.205
beta4_slope[12]	-4.673	0.798	-6.352	-4.647	-3.235
beta4_slope[13]	0.280	0.053	0.179	0.278	0.386
beta4_slope[14]	-0.178	0.152	-0.492	-0.172	0.109
beta4_slope[15]	-0.386	0.033	-0.451	-0.386	-0.319
beta4_slope[16]	0.219	0.106	0.006	0.223	0.429
beta5_slope[11]	3.078	0.107	2.882	3.076	3.298
beta5_slope[12]	2.017	0.383	1.344	2.000	2.825
beta5_slope[13]	0.935	0.079	0.779	0.934	1.093
beta5_slope[14]	3.792	0.359	3.114	3.781	4.544
beta5_slope[15]	1.387	0.074	1.243	1.388	1.536
beta5_slope[16]	2.694	0.233	2.257	2.693	3.163
tau_comp[1]	3.768	0.287	3.235	3.756	4.350
tau_comp[2]	2.846	0.249	2.397	2.834	3.356
tau_comp[3]	0.868	0.073	0.735	0.863	1.020
tau_comp[4]	1.270	0.195	0.939	1.254	1.692
tau_comp[5]	1.202	0.179	0.878	1.194	1.581
sigma_H[1]	0.205	0.049	0.117	0.202	0.308
sigma_H[2]	0.174	0.028	0.127	0.171	0.237
sigma_H[3]	0.188	0.040	0.115	0.186	0.276
sigma_H[4]	0.465	0.081	0.332	0.457	0.650
sigma_H[5]	0.963	0.201	0.601	0.953	1.386
sigma_H[6]	0.528	0.196	0.156	0.517	0.931
sigma_H[7]	0.309	0.061	0.213	0.300	0.453
sigma_H[8]	0.424	0.096	0.265	0.415	0.625
sigma_H[9]	0.517	0.119	0.331	0.499	0.790
sigma_H[10]	0.209	0.038	0.143	0.206	0.292
sigma_H[11]	0.266	0.043	0.192	0.263	0.364
sigma_H[12]	0.381	0.145	0.199	0.336	0.713
sigma_H[13]	0.217	0.036	0.157	0.213	0.301
sigma_H[14]	0.497	0.090	0.343	0.489	0.692
sigma_H[15]	0.235	0.038	0.172	0.231	0.321
sigma_H[16]	0.212	0.041	0.146	0.208	0.305
lambda_H[1]	2.206	3.215	0.076	1.036	11.558
lambda_H[2]	5.180	5.040	0.495	3.714	18.318
lambda_H[3]	5.405	8.096	0.294	2.782	25.723
lambda_H[4]	0.006	0.004	0.001	0.005	0.017
lambda_H[5]	2.750	7.444	0.028	0.698	20.573
lambda_H[6]	6.240	13.571	0.009	0.254	45.510
lambda_H[7]	0.012	0.008	0.002	0.010	0.033
lambda_H[8]	7.538	9.932	0.045	4.194	35.229
lambda_H[9]	0.015	0.010	0.003	0.013	0.041
lambda_H[10]	0.220	0.306	0.025	0.151	0.797
lambda_H[11]	0.227	0.346	0.011	0.106	1.117
lambda_H[12]	3.715	5.088	0.179	2.042	18.067
lambda_H[13]	3.148	2.971	0.260	2.283	10.747
lambda_H[14]	3.238	3.922	0.200	2.121	14.107
lambda_H[15]	0.021	0.099	0.003	0.014	0.065
lambda_H[16]	0.501	0.789	0.032	0.258	2.424
mu_lambda_H[1]	4.071	1.919	1.105	3.833	8.259
mu_lambda_H[2]	3.682	1.977	0.528	3.493	7.817
mu_lambda_H[3]	3.339	1.860	0.642	3.037	7.665
sigma_lambda_H[1]	8.148	4.382	1.782	7.400	18.018
sigma_lambda_H[2]	8.150	4.783	0.874	7.609	18.347
sigma_lambda_H[3]	6.166	4.089	0.894	5.249	16.388
beta_H[1,1]	6.483	1.354	3.149	6.710	8.435
beta_H[2,1]	9.747	0.626	8.334	9.785	10.889
beta_H[3,1]	7.819	0.801	5.882	7.926	9.084
beta_H[4,1]	10.495	7.725	-5.149	10.751	25.708
beta_H[5,1]	-0.278	2.549	-5.508	-0.122	4.184
beta_H[6,1]	3.008	4.370	-7.776	4.449	8.073
beta_H[7,1]	1.265	5.642	-10.402	1.568	11.652
beta_H[8,1]	1.460	4.229	-2.651	1.228	4.449
beta_H[9,1]	13.546	5.611	2.590	13.458	24.714
beta_H[10,1]	6.851	1.849	2.865	6.877	10.392
beta_H[11,1]	4.824	3.518	-2.862	5.331	9.875
beta_H[12,1]	2.614	1.113	0.677	2.495	5.291
beta_H[13,1]	9.087	0.867	7.305	9.130	10.546
beta_H[14,1]	2.131	1.055	0.168	2.139	4.108
beta_H[15,1]	-6.960	3.506	-13.422	-7.066	0.718
beta_H[16,1]	3.930	3.029	-0.785	3.489	11.091
beta_H[1,2]	7.784	0.271	7.252	7.792	8.296
beta_H[2,2]	9.881	0.163	9.558	9.883	10.191
beta_H[3,2]	8.798	0.203	8.401	8.794	9.202
beta_H[4,2]	3.027	1.456	0.277	2.980	6.109
beta_H[5,2]	1.733	1.026	-0.293	1.726	3.717
beta_H[6,2]	6.025	1.098	3.536	6.190	7.768
beta_H[7,2]	2.378	1.048	0.446	2.346	4.477
beta_H[8,2]	2.968	1.202	0.998	3.140	4.275
beta_H[9,2]	3.199	1.080	1.128	3.174	5.364
beta_H[10,2]	8.033	0.367	7.285	8.038	8.750
beta_H[11,2]	9.832	0.636	8.863	9.757	11.207
beta_H[12,2]	3.937	0.372	3.231	3.920	4.697
beta_H[13,2]	9.157	0.241	8.712	9.152	9.651
beta_H[14,2]	4.019	0.340	3.326	4.015	4.686
beta_H[15,2]	11.528	0.635	10.185	11.532	12.708
beta_H[16,2]	4.478	0.826	2.983	4.465	6.166
beta_H[1,3]	8.443	0.259	7.987	8.434	8.969
beta_H[2,3]	9.861	0.145	9.587	9.856	10.157
beta_H[3,3]	9.460	0.163	9.142	9.457	9.793
beta_H[4,3]	-2.187	0.862	-3.930	-2.180	-0.521
beta_H[5,3]	3.894	0.614	2.599	3.894	5.079
beta_H[6,3]	8.404	1.189	6.721	8.100	10.855
beta_H[7,3]	-2.553	0.622	-3.821	-2.557	-1.360
beta_H[8,3]	5.353	0.580	4.715	5.260	6.702
beta_H[9,3]	-2.725	0.699	-4.103	-2.717	-1.393
beta_H[10,3]	8.550	0.279	8.010	8.552	9.099
beta_H[11,3]	8.499	0.285	7.919	8.521	9.000
beta_H[12,3]	5.268	0.323	4.509	5.306	5.793
beta_H[13,3]	8.861	0.179	8.493	8.865	9.206
beta_H[14,3]	5.778	0.275	5.173	5.802	6.257
beta_H[15,3]	10.281	0.299	9.704	10.283	10.850
beta_H[16,3]	5.922	0.585	4.748	5.937	7.012
beta_H[1,4]	8.098	0.188	7.702	8.111	8.434
beta_H[2,4]	9.849	0.130	9.576	9.851	10.097
beta_H[3,4]	9.949	0.150	9.630	9.961	10.219
beta_H[4,4]	11.814	0.462	10.939	11.814	12.731
beta_H[5,4]	5.569	0.730	4.352	5.509	7.162
beta_H[6,4]	7.189	0.927	5.237	7.405	8.479
beta_H[7,4]	8.542	0.345	7.862	8.544	9.200
beta_H[8,4]	6.726	0.284	6.066	6.753	7.177
beta_H[9,4]	7.437	0.449	6.564	7.436	8.320
beta_H[10,4]	7.523	0.219	7.115	7.518	7.965
beta_H[11,4]	9.500	0.192	9.131	9.498	9.887
beta_H[12,4]	7.261	0.202	6.881	7.254	7.691
beta_H[13,4]	9.058	0.138	8.778	9.066	9.317
beta_H[14,4]	7.828	0.214	7.415	7.825	8.267
beta_H[15,4]	9.474	0.222	9.037	9.473	9.895
beta_H[16,4]	9.431	0.236	8.991	9.427	9.913
beta_H[1,5]	8.900	0.152	8.582	8.903	9.200
beta_H[2,5]	10.676	0.100	10.489	10.672	10.888
beta_H[3,5]	10.761	0.161	10.458	10.756	11.091
beta_H[4,5]	8.349	0.486	7.437	8.335	9.315
beta_H[5,5]	5.203	0.610	3.723	5.281	6.166
beta_H[6,5]	8.991	0.633	8.024	8.871	10.399
beta_H[7,5]	6.571	0.343	5.898	6.574	7.236
beta_H[8,5]	8.261	0.234	7.901	8.235	8.798
beta_H[9,5]	8.174	0.458	7.258	8.173	9.073
beta_H[10,5]	10.045	0.224	9.591	10.050	10.485
beta_H[11,5]	11.594	0.219	11.164	11.594	12.027
beta_H[12,5]	8.607	0.190	8.233	8.606	8.978
beta_H[13,5]	10.134	0.132	9.891	10.130	10.402
beta_H[14,5]	9.235	0.211	8.841	9.233	9.684
beta_H[15,5]	11.307	0.243	10.829	11.305	11.797
beta_H[16,5]	9.861	0.182	9.492	9.862	10.212
beta_H[1,6]	10.118	0.232	9.749	10.089	10.678
beta_H[2,6]	11.470	0.110	11.253	11.470	11.684
beta_H[3,6]	10.617	0.158	10.283	10.624	10.905
beta_H[4,6]	12.900	0.876	11.165	12.909	14.569
beta_H[5,6]	5.652	0.618	4.553	5.614	6.934
beta_H[6,6]	8.745	0.565	7.483	8.781	9.770
beta_H[7,6]	10.544	0.584	9.404	10.550	11.703
beta_H[8,6]	9.518	0.288	8.911	9.549	9.963
beta_H[9,6]	8.311	0.777	6.819	8.306	9.875
beta_H[10,6]	9.137	0.340	8.399	9.156	9.733
beta_H[11,6]	10.676	0.369	9.895	10.711	11.316
beta_H[12,6]	9.378	0.242	8.931	9.370	9.882
beta_H[13,6]	11.089	0.152	10.802	11.086	11.399
beta_H[14,6]	9.920	0.285	9.350	9.926	10.463
beta_H[15,6]	10.535	0.435	9.676	10.542	11.366
beta_H[16,6]	10.576	0.254	10.044	10.585	11.061
beta_H[1,7]	10.152	1.230	7.058	10.431	11.873
beta_H[2,7]	12.107	0.519	10.950	12.150	13.055
beta_H[3,7]	10.309	0.650	8.926	10.350	11.489
beta_H[4,7]	1.547	4.531	-6.973	1.465	10.913
beta_H[5,7]	5.835	2.010	1.910	5.882	9.728
beta_H[6,7]	7.151	3.176	-0.289	8.272	11.132
beta_H[7,7]	7.688	2.950	1.872	7.694	13.573
beta_H[8,7]	10.893	1.108	9.071	10.851	12.866
beta_H[9,7]	4.835	4.009	-3.183	4.957	12.714
beta_H[10,7]	10.034	1.603	7.337	9.897	13.604
beta_H[11,7]	11.412	1.799	8.231	11.187	15.472
beta_H[12,7]	9.776	0.967	7.793	9.854	11.344
beta_H[13,7]	11.717	0.701	10.123	11.783	12.899
beta_H[14,7]	10.608	0.919	8.755	10.634	12.249
beta_H[15,7]	14.032	2.268	9.506	13.989	18.549
beta_H[16,7]	12.905	1.367	10.522	12.765	15.874
beta0_H[1]	8.229	18.801	-30.333	8.612	45.364
beta0_H[2]	10.603	7.994	-5.651	10.560	26.712
beta0_H[3]	9.614	10.255	-11.618	9.696	29.970
beta0_H[4]	2.641	185.320	-391.042	3.894	385.816
beta0_H[5]	4.578	26.327	-49.486	4.371	56.832
beta0_H[6]	5.411	53.251	-111.840	7.480	119.066
beta0_H[7]	1.635	139.169	-284.590	1.813	285.176
beta0_H[8]	7.200	35.536	-21.665	6.402	34.899
beta0_H[9]	5.968	125.030	-257.402	7.654	253.413
beta0_H[10]	7.595	38.175	-70.781	8.164	87.741
beta0_H[11]	10.020	51.905	-100.290	10.574	119.946
beta0_H[12]	7.089	12.760	-18.865	6.872	33.800
beta0_H[13]	9.847	11.038	-11.971	9.792	30.137
beta0_H[14]	7.073	12.204	-17.320	7.193	31.032
beta0_H[15]	12.335	115.618	-210.865	11.936	260.816
beta0_H[16]	7.599	32.332	-59.855	7.933	73.886

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025